TY - JOUR
T1 - A Metabolomic Study of Biomarkers of Habitual Coffee Intake in Four European Countries
AU - Rothwell, Joseph A.
AU - Keski-Rahkonen, Pekka
AU - Robinot, Nivonirina
AU - Assi, Nada
AU - Casagrande, Corinne
AU - Jenab, Mazda
AU - Ferrari, Pietro
AU - Boutron-Ruault, Marie Christine
AU - Mahamat-Saleh, Yahya
AU - Mancini, Francesca Romana
AU - Boeing, Heiner
AU - Katzke, Verena
AU - Kühn, Tilman
AU - Niforou, Katerina
AU - Trichopoulou, Antonia
AU - Valanou, Elisavet
AU - Krogh, Vittorio
AU - Mattiello, Amalia
AU - Palli, Domenico
AU - Sacerdote, Carlotta
AU - Tumino, Rosario
AU - Scalbert, Augustin
N1 - Publisher Copyright:
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
PY - 2019/11/1
Y1 - 2019/11/1
N2 - Scope: The goal of this work is to identify circulating biomarkers of habitual coffee intake using a metabolomic approach, and to investigate their associations with coffee intake in four European countries. Methods and results: Untargeted mass spectrometry-based metabolic profiling is performed on serum samples from 451 participants of the European Prospective Investigation on Cancer and Nutrition (EPIC) originating from France, Germany, Greece, and Italy. Eleven coffee metabolites are found to be associated with self-reported habitual coffee intake, including eight more strongly correlated (r = 0.25–0.51, p < 10E−07). Trigonelline shows the highest correlation, followed by caffeine, two caffeine metabolites (paraxanthine and 5-Acetylamino-6-amino-3-methyluracil), quinic acid, and three compounds derived from coffee roasting (cyclo(prolyl-valyl), cyclo(isoleucyl-prolyl), cyclo(leucyl-prolyl), and pyrocatechol sulfate). Differences in the magnitude of correlations are observed between countries, with trigonelline most highly correlated with coffee intake in France and Germany, quinic acid in Greece, and cyclo(isoleucyl-prolyl) in Italy. Conclusion: Several biomarkers of habitual coffee intake are identified. No unique biomarker is found to be optimal for all tested populations. Instead, optimal biomarkers are shown to depend on the population and on the type of coffee consumed. These biomarkers should help to further explore the role of coffee in disease risk.
AB - Scope: The goal of this work is to identify circulating biomarkers of habitual coffee intake using a metabolomic approach, and to investigate their associations with coffee intake in four European countries. Methods and results: Untargeted mass spectrometry-based metabolic profiling is performed on serum samples from 451 participants of the European Prospective Investigation on Cancer and Nutrition (EPIC) originating from France, Germany, Greece, and Italy. Eleven coffee metabolites are found to be associated with self-reported habitual coffee intake, including eight more strongly correlated (r = 0.25–0.51, p < 10E−07). Trigonelline shows the highest correlation, followed by caffeine, two caffeine metabolites (paraxanthine and 5-Acetylamino-6-amino-3-methyluracil), quinic acid, and three compounds derived from coffee roasting (cyclo(prolyl-valyl), cyclo(isoleucyl-prolyl), cyclo(leucyl-prolyl), and pyrocatechol sulfate). Differences in the magnitude of correlations are observed between countries, with trigonelline most highly correlated with coffee intake in France and Germany, quinic acid in Greece, and cyclo(isoleucyl-prolyl) in Italy. Conclusion: Several biomarkers of habitual coffee intake are identified. No unique biomarker is found to be optimal for all tested populations. Instead, optimal biomarkers are shown to depend on the population and on the type of coffee consumed. These biomarkers should help to further explore the role of coffee in disease risk.
KW - coffee
KW - dietary biomarkers
KW - diketopiperazines
KW - metabolomics
KW - trigonelline
UR - http://www.scopus.com/inward/record.url?scp=85063149965&partnerID=8YFLogxK
U2 - 10.1002/mnfr.201900659
DO - 10.1002/mnfr.201900659
M3 - Article
SN - 1613-4125
VL - 63
JO - Molecular Nutrition and Food Research
JF - Molecular Nutrition and Food Research
IS - 22
M1 - 1900659
ER -
